Evidence map›Paper›PMID 39975368›Full record

ArticlebioRxiv : the preprint server for biology2025

Chromato-kinetic fingerprinting enables multiomic digital counting of single disease biomarker molecules.

Pavel Banerjee, Sujay Ray, Liuhan Dai, Erin Sandford, Tanmay Chatterjee, Shankar Mandal, Javed Siddiqui, Muneesh Tewari, Nils G Walter

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Pavel BanerjeeDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-7968-8105
Sujay RayDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-1076-0436
Liuhan DaiDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-9742-236X
Erin SandfordDivision of Hematology/Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Tanmay ChatterjeeDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.
Shankar MandalDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.
Javed SiddiquiDepartment of Pathology, University of Michigan, Ann Arbor, Michigan.
Muneesh TewariDivision of Hematology/Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-7781-3152
Nils G WalterDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-7301-1275

Funding

Tissue/InformaticsP50CA186786 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ganesh S Palapattu · 2014 to 2026
$27.6M
The RNA nanomachines of the gene expression machinery dissected at the single molecule levelR35GM131922 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NILS G WALTER · 2019 to 2026
$6.9M
Michigan-VUMC Biomarker Characterization CenterU2CCA271854 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jeffrey John Tosoian · 2022 to 2026
$5.4M
Highly specific, amplification-free, single-molecule counting of rare methylated DNA cancer biomarkersR21CA225493 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TEWARI, MUNEESH, WALTER, NILS G · 2020 to 2020
$609k
NCI NIH HHS P50 CA186786NCI NIH HHS R21 CA225493NCI NIH HHS U2C CA271854NIGMS NIH HHS R35 GM131922
6 · The paper itself

Abstract

Early and personalized intervention in complex diseases requires robust molecular diagnostics, yet the simultaneous detection of diverse biomarkers-microRNAs (miRNAs), mutant DNAs, and proteins-remains challenging due to low abundance and preprocessing incompatibilities. We present Biomarker Single-molecule Chromato-kinetic multi-Omics Profiling and Enumeration (Bio-SCOPE), a next-generation, triple-modality, multiplexed detection platform that integrates both chromatic and kinetic fingerprinting for molecular profiling through digital encoding. Bio-SCOPE achieves femtomolar sensitivity, single-base mismatch specificity, and minimal matrix interference, enabling precise, parallel quantification of up to six biomarkers in a single sample with single-molecule resolution. We demonstrate its versatility in accurately detecting low-abundance miRNA signatures from human tissues, identifying upregulated miRNAs in the plasma of prostate cancer patients, and measuring elevated interleukin-6 (IL-6) and hsa-miR-21 levels in cytokine release syndrome patients. By seamlessly integrating multiomic biomarker panels on a unified, high-precision platform, Bio-SCOPE provides a transformative tool for molecular diagnostics and precision medicine.

Identifiers

PMID39975368
PMCPMC11838488

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.